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$78.2K

$163K

How much do mit phd jobs pay per year?

As of Sep 2, 2026, the average yearly pay for mit phd in the United States is $78,242.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $103,500.00 per year, depending on experience, location, and employer.

What are MIT PhD programs?

MIT PhD programs are rigorous, research-focused doctoral programs offered by the Massachusetts Institute of Technology in a wide range of disciplines, including engineering, sciences, social sciences, and more. These programs aim to develop scholars capable of conducting original research that advances knowledge in their fields. Admission is highly competitive, and students work closely with faculty advisors while fulfilling coursework, exams, and dissertation requirements. Graduates often pursue careers in academia, industry, research, or entrepreneurship.

What are some common challenges faced by MIT PhD students during their research journey?

MIT PhD students often encounter challenges such as balancing coursework with demanding research projects, navigating the high expectations for innovation, and managing their time effectively. Collaboration with advisors and research teams is critical, but it can also involve learning to communicate complex ideas and receive constructive feedback. Additionally, students may face periods of uncertainty or setbacks in their research, so resilience and strong support networks are key to overcoming obstacles and making steady progress.

What are the key skills and qualifications needed to thrive as an MIT PhD graduate, and why are they important?

To thrive as an MIT PhD graduate, you need advanced expertise in your field, strong research skills, and a completed doctoral degree in your area of study. Familiarity with specialized research tools, programming languages, data analysis software, and laboratory equipment is typically required, along with peer-reviewed publications. Exceptional critical thinking, perseverance, and clear communication help distinguish top candidates in both academic and industry roles. These skills and qualifications are crucial for driving innovation, conducting rigorous research, and contributing meaningfully to your discipline.

What is the difference between Mit Phd vs Data Scientist?

AspectMit PhdData Scientist
Required CredentialsPhD in relevant field, advanced research skillsBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentResearch labs, academia, R&D departmentsCorporate, tech companies, consulting firms
Industry UsageAcademic research, specialized R&D rolesData analysis, predictive modeling, business insights

While a Mit Phd focuses on advanced research and academic or R&D roles, a Data Scientist applies data analysis skills in industry settings. Both roles require strong analytical skills, but the Mit Phd emphasizes research expertise, whereas Data Scientists focus on practical data applications in business.

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Mit Phd jobs near you
Infographic showing various Mit Phd job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $78,242 per year, or $37.6 per hour.

Software Architect

MIT Lincoln Laboratory

Lexington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Job description

The Energy Systems Group at MIT Lincoln Laboratory develops energy and critical infrastructure resilience solutions for national security. Our group works on a wide variety of programs including domestic and tactical military base energy resilience, microgrids - energy systems that can operate independently from the bulk electric grid, cyber security of control systems that interface with energy systems, and development of advanced energy technologies. The group leads systems analysis efforts focusing on the gaps between infrastructure and operational requirements, executes live exercises for testing energy and cyber resilience posture, builds hardware-in-the-loop and real-time simulation platforms, does basic and applied research on technologies, and fields functional prototypes. Projects are typically conducted in a team environment, leveraging expertise from within Lincoln Laboratory and MIT campus to successfully execute nationally important and cutting-edge efforts.

Job Description

Our group is seeking highly motivated individuals to support software design, implementation, test, and deployment activities within a rapid prototyping environment. The candidate will work across different technical areas in a dynamic team-oriented development environment and will likely support multiple projects at one time. The position requires the ability to lead a team of software developers to design, implement, and test prototype software systems. The position requires the development and integration of sensor data and algorithms based on statistical modelling and machine learning techniques. The candidate should be well-organized, self-driven, creative, detail-oriented, and have strong verbal and written communication and teaming skills. Mentoring more junior staff members is expected. Documentation and presentation of work is required throughout the life-cycle of development efforts and may include the generation of flowcharts, diagrams, slides, and code documentation.

This is an onsite/hybrid position. Candidates are expected to work onsite in Lexington, MA for at least 60% of their working time.

Requirements
  • PhD or M.S. with 3 years of experience  in computer science, computer engineering, or a related technical discipline
  • Experience in software architecture development
  • Experience designing modular, extensible, and scalable microservice based architectures
  • Experience with cloud-native services, data pipelines, and APIs
  • Experience in evaluating and selecting appropriate technologies and frameworks
  • Proficiency in Python or Java
  • Experience developing and deploying cloud-based software (AWS, Azure, etc.)
  • Development and utilization of continuous integration and deployment (CI/CD) architectures and DevSecOps best practices
  • Experience leading and participating in Agile development methodologies (Scrum, Kanban)
  • Experience creating, querying, and optimizing databases 
  • Familiarity with basic machine learning processing and optimization techniques
  • Basic knowledge of the Windows and Linux operating systems
  • Excellent written and oral communications skills in technical and non-technical environments

Strong candidates will have one or more of the desired skills:

  • Working knowledge of Go, C#, JavaScript, C/C++, or Rust
  • Working knowledge of basic scripting languages (PowerShell, Bash, Perl, etc.)
  • Experience using generative AI to accelerate software development

Recent Graduate Hiring Range: $145,200 - $170,000

Experienced Hiring Range: $145,200 - $220,000

 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including—but not limited to—the scope and responsibilities of the role, the candidate’s experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

Requisition ID: 42816 

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